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Category: Analytics

How They Got There: Transitioning To Data Science

Posted on by Imarticus Learning

How They Got There: Transitioning To Data Science

The emergence of big data has prompted businesses to rely on data to make informed decisions. But how do you make sense of all that data?  That’s where the data scientist enters the scene.

A data scientist collects, analyses, and interprets data to make business recommendations. They do this by using AI, Statistics, and Computer science. They can apply these skills to a wide range of industries such as healthcare, finance, and retail.

The Data science career is an excellent choice for those interested in working with data. And it’s pretty rewarding with the right skills. Whether you want to advance in your career in data science or start, many options are available. One of the most effective ways is through data science courses.

These courses enable students with the right skills and knowledge to succeed. Let’s explore how you can transition with the help of proper data science online training.

Transitioning to Data Science via Applied Learning Courses 

The easiest way to transition to the data science space is to learn the fundamentals of the subject. Consider enrolling in a data science online training program that incorporates applied learning.

This learning method is convenient since students are not restricted to physical classrooms. Also, it offers students the flexibility to learn at their own pace, anywhere, and at any time. 

The learning model in an online environment is flexible and includes various resources. These include videos, lectures, articles, books, and one-on-one interactions with the instructor. Next, let’s talk about what you’ll need to learn in your data science course.

Data Science Online Training Curriculum

To transition into data science, you’ll need to learn the fundamental concepts, including:

  • Statistics
  • Probability Theory
  • Probability Distributions
  • Hypothesis Testing
  • Statistical Tests

These topics form the core of any data science course. Moreover, an understanding of Machine learning and Predictive Modelling is also required. Apart from these topics, you’ll also learn about some essential tools and languages. These include:

  • Python
  • Tableau
  • SQL
  • NumPy
  • Pandas

Combining these tools with fundamental concepts will help you in your data role.

What Makes a Good Data Science Online Training?

So, we’ve considered the curriculum requisites for transitioning into a data science career. Now, let’s examine what makes a great data science course based on applied learning: Faculty from top institutes such as IIT/IIM and other industry experts.

  • Live instructor-led online sessions with access to the session recordings and notes.
  • Online discussion with course faculty and peers to clear doubts and brainstorm.
  • Real-world case studies and live projects to provide insight. These concepts can predict property value, heart disease, taxi fare, etc.
  • Regular assignment assessments to track progress.
  • A Capstone project to collate and present the course learnings.
  • Career support activities, including resume-building workshops and mock interviews for job placements.
  • Startup mentorship and funding for those looking to start their ventures.
  • Certification of completion.
  • Access to an alumni network and a chance for an on-campus immersion program.

A course providing these things will ensure that you learn data science skills and make data-driven decisions. One such data science online training based on the concept of applied learning is offered by Imaticus Learning.

About Imaticus Learning

Imarticus Learning, in collaboration with iHUB DivyaSampark @ IIT Roorkee and the Department of Science & Technology (DST), offers one of the best certification programs in Data Science and Machine Learning. 

Since the program is made especially for early and mid-level professionals, you’ll understand the various aspects of data science and learn how to implement and apply these concepts to real-world problems. 

Imaticus Learning covers all the points that make for excellent data science online training program, as mentioned earlier. Check out the success stories of those who transitioned into the data science field. Some alumni work with big brands such as Accenture, Capgemini, KPMG, etc.

You can visit the Imarticus Learning website for live chat support. You can also drive to one of their training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Conclusion

As data becomes central to decision-making in organizations, those with the skills to analyze and interpret it will be in high demand. Starting or transitioning to a data science career requires a strong foundation. And to help you with that, you can look for result-oriented data science courses.

Attending these courses helps you develop the skills needed to become a top Data scientist, Data Analyst, Business analyst, Data manager, Business Intelligence expert, etc.

This blog discussed what constitutes a top data science online training program and explored one such institute in Imaticus Learning. Feel free to check it out. Also, let us know your opinion on the necessary things for transitioning into the data science career.

How AI certification can revolutionize recruitment?

Posted on by Imarticus Learning

How AI certification can revolutionize recruitment?

As artificial intelligence evolves and becomes sophisticated, its impact on various industries will inevitably be profound. One area where AI is already beginning to impact significantly is recruitment.

With the help of AI certification, recruiters can now efficiently and effectively screen candidates for jobs by analyzing their resumes and identifying the best candidates for the position. This blog post will explore how AI certification can revolutionize recruitment.

What is AI certification, and how does it work?

 AI certification is a process by which individuals can prove their proficiency in artificial intelligence. The certification exam tests candidates’ understanding of AI concepts and their ability to apply these concepts to solve real-world problems.

AI certification can be a valuable asset for job seekers as it can help them stand out from the competition and demonstrate their skills to potential employers. Additionally, AI certification can help employers identify candidates with the necessary skills to fill open positions.

Overall, AI certification is beneficial for both job seekers and employers alike. It can help job seekers showcase their skills and knowledge while assisting employers in identifying the best candidates for vacant positions.

Here are some ways in which AI certification can revolutionize recruitment.

First and foremost, AI certification can help identify the most suitable candidates for a role. By analyzing a candidate’s qualifications and experience, an AI system can shortlist the best matches for the job. It means that recruiters can spend less time sifting through CVs and more time interviewing the most promising candidates.

Secondly, AI certification can help to streamline the recruitment process. By automating repetitive tasks such as CV screening and candidate assessment, an AI system can free up recruiters’ time to focus on strategic tasks. It can result in a faster, more efficient recruitment process that saves time and money.

Finally, AI certification can help to improve the quality of hires. An AI system can identify the key characteristics that make a successful employee by using data and analytics. This information can then screen candidates and select those most likely to succeed in the role. As a result, AI-certified recruitment systems can help reduce turnover and improve the quality of the workforce.

AI certification is thus a valuable tool for recruiters. By helping to identify the best candidates, streamline the recruitment process, and improve the quality of hires, AI certification can revolutionize the way businesses recruit employees. In today’s competitive market, those who embrace AI-powered recruitment will have a significant advantage over those who do not.

Discover the Artificial intelligence and Machine Learning course by Imarticus Learning:

The Artificial Intelligence and Machine Learning certification from the E & ICT Academy, IIT Guwahati, and the best industry experts is a great combination. This certification will teach students to become data scientists, data analysts, machine learning engineers, and AI engineers.

Course Benefits for Learners:

  • Prepare for a fascinating data science job by completing 25 real-world projects that provide you with industry experience.
  • Impress employers and demonstrate your Artificial intelligence certification with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed certificate.
  • Students can now participate in live online seminars and discussions with one of the finest instructors in India.

5 Business Analytics Course Blogs You Need To Read

Posted on by Imarticus Learning

5 Business Analytics Course Blogs You Need To Read

Organizations are rapidly growing and adapting, and data is becoming an ever-changing commodity. A company’s performance is strongly dependent on various elements, with studying Business Analytics is one of the most important. Learning about the many levels of business intelligence is essential for a successful corporate career. 

Here are the top 5 business intelligence blogs to follow for insider insights, upcoming trends, and other material to help you outshine this sector as part of your continuous business intelligence education. These blogs can help you become a sophisticated and talented BI master.

Here are 5 Business Analytics Course Blogs you need to read: 

  • Adrian Reed’s Blog

Adrian Reed is a fantastic storyteller who blogs on many themes to emphasize the importance of business analysis. This is one of the most active business analysis blogs on the internet.

  • Phocas Business Intelligence blog

The Phocas Business Intelligence Blog avoids excessively technical topics. You won’t find many posts with lines of code or opaque language. Instead, you will have the chance to master the fundamentals of data analytics and how to use what you have learned to make educated business decisions at work. As such, it’s the site that marketing, HR, finance, and sales professionals would appreciate.

  • Forrester Business Intelligence

For over 40 years, Forrester has been assisting firms in understanding and reaching their audiences, which is why it is on the list of business intelligence blogs you should follow. While Forrester works with a wide range of businesses, not all of its material is about business intelligence. However, you can anticipate Forrester to publish business intelligence articles among its various content pieces on the site, and you can quickly jump right to BI topics that may interest you.

  • Bridging the Gap

This website, owned by Laura Brandenburg, is dedicated to assisting people in beginning their careers as business analysts. It provides various tools such as business analysis books, courses, templates, and free articles. This is one of the top business analysis blogs providing information on how to begin a career in business analysis.

  • Eric The BA

Eric is a passionate blogger as well as a competent business analyst. He is passionate about simplifying things and explaining complicated topics to clients.

Discover data analytics certification courses online with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This data analytics course with placement is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics. 

Course Benefits For Learners:

  • Learn how to become a data analyst and master the abilities of Python for data science, SQL, machine learning, and data visualization.
  • 25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills.
  • Our curriculum includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

4 key differences between AI courses and robotics

Posted on by Imarticus Learning

4 key differences between AI courses and robotics

Artificial Intelligence and robotics are branches of science that people often get confused with. People think that they are related to each other, that one is a branch of the other. The fact is, though they serve some similar purposes of automation of some systems, they are entirely different.

Those who want to pursue a career in either of these must understand this difference. One should not enrol for an AI certification thinking that it deals with making robots. Let’s find out what are the main differences between AI and robotics. 

Artificial Intelligence vs Robotics

An artificially intelligent robot is what is making the public confused about the relationship between AI and robotics. The main differences between them are mentioned here.

  1. Robotics is a branch of engineering while Artificial Intelligence is a part of computer science.
  2. Robotics creates robots that have a physical form, while AI creates smart machines that can solve problems for humans or make their tasks simpler.
  3.  Robots are programmed to do different tasks which enables them to be autonomous or semi-autonomous. They cannot make changes on their own. On the other hand, algorithms can make modifications based on the input they get, using machine learning or similar tools.
  4. Artificial intelligence is widely used in the daily lives of the public while robots are used in selected areas, which is very low at the moment. 

At the same time, it should be noted that not all robots that we know about have a physical form. The term ‘bots’ refers to robots but the one that most of us see in our day-to-day lives refers to the chatbots, search engine bots, etc are software and are only part of the digital world so they may not be called real robots. 

Where do AI and Robotics meet?

AI and robotics meet where Artificial Intelligence is used in the programming of the robots to make them intelligent. They are known as intelligent robots where the robots make the physical part and the AI forms its ‘brain’. Such robots can move, pick up things, and can also keep them at their specific places.

What helps the robot here are AI algorithms and a camera that helps determine the usual places. AI here almost works as a ‘sixth sense’ where the robot can be sensitized to use its various ‘senses’. 

Future of AI in robotics

AI and robotics are here to stay for a long time. This combination could perform several tasks very well, regardless of how complex they seem to be. People could own a robot and even be able to train them to do customized jobs for them. Intelligent robots could be useful in various industries such as delivery systems, agriculture, etc. 

One can find several AI and Robotics courses. Those who want to pursue that career could start with the Artificial intelligence and Machine Learning course that introduces them to all the latest technologies and tools in this field. The AIML course at Imarticus is conducted by the IIT Guwahati. Participants for this course will be getting lectures directly from the academic professors as well as from the experts in the industry.  

Conclusion

One of the cons of the future of AI and robotics is the lack of enough creativity to practically use them. To counter this, we need more interested people in the AI industry. The primary step towards this should be the Artificial Intelligence certification, both entry-level and intermediate. At Imarticus, one can find one of the finest courses that will provide expertise, experience, and proper guidance. Enroll now!

A Python Guide For An Excel Person

Posted on by Imarticus Learning

A Python Guide For An Excel Person

The most widely used programming language today, Python, has countless uses in various industries. It is the best option in terms of deployment and maintenance, thanks to its dynamic and flexible capabilities. MS Excel is one of the well-known Microsoft programs that functions like a spreadsheet and is used to store and analyze numerical data. 

It was among the first tools businesses worldwide used to evaluate data and draw conclusions. The phrase “conventional BI tool” is also used to describe it. You may easily transmit data from any source to any destination by using Python Excel Automation. 

Using Excel and Python for Data Science

In the year 1987, Microsoft created the spreadsheet program known as Excel. Almost all operating systems, including Windows, Android, etc., formally support it. It already has the Windows OS pre-installed and is simple to connect with other systems. Microsoft Excel is the most powerful and widely used application for working with structured data. 

Your data is arranged, processed, and stored in a tabular row-column format. Calculations, pivot tables, graphs, and much more are all possible! Since its introduction, this program has grown in popularity and is used extensively around the globe in various application sectors and domains. 

How Can Python Automate an Excel Spreadsheet?

Step 1: Analyze the datasheet 

Analyzing the Dataset is the first stage in Python Excel Automation. This lesson makes use of a sales dataset.

Step 2: Using Pandas to create pivot tables

Designing pivot tables is the next step in Python Excel Automation. Pandas often read an excel file, which generates the pivot table and exports it to Excel. Then, you can create charts and spreadsheets in Python and write Excel formulae using the Openpyxl module.

Step 3: Using Openpyxl to design the Reports

Designing the reports is the next phase in Python Excel Automation. You must use the “load workbook” function from Openpyxl to create the report, and you can save using the “.save()” method.

Step 4: Using Python to automate the report

The automation of your report is the next Python Excel Automation step. To make it simple to automate the report, you may write all the code in a single function. 

Discover Python Certification with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This ensured placement program is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics. 

Course Benefits For Learners:

  • Learn how to become a data analyst and master the abilities of Python for data science, SQL, machine learning, and data visualization. 
  • 25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills. 
  • Our python tutorial includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.

Contact us through chat support, or drive to one of our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

An Introduction To The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course

Posted on by Imarticus Learning

An Introduction To The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course

Introduction 

In today’s world of innovation, data science is a wonderful opportunity. It makes great use of technologies like artificial intelligence, machine learning, analytics, and more. The recent technological revolution in the industry has significantly increased the demand for these elite technological talents.

Data science trends

Data science is currently emerging as a very demanding trend in the industry. The size of the Data Science Platform market is projected to increase from USD 95.3 billion in 2021 to 322.9 USD billion in 2026, with a compounded annual growth rate of 27.7% over the forecast period (CAGR).

As business modernization and digitization double, data continues to grow. By 2025, the global data sphere will have 175 zettabytes of data, according to Seagate UK. And the data crafter is in high demand.

The US Bureau of Labor Statistics estimates that the growing importance of data science will create approximately 11.5 million jobs by 2026.

Data science vs. machine learning – which one is a promising career? 

Machine learning engineer and data scientist are two of the most popular jobs in the industry. Writing code and distributing ML solutions is the primary responsibility of an ML expert. Data experts, on the other hand, examine raw data and extract useful information from it. Over time, the line between machine learning engineers and data scientists is narrowing as technology integrates their work into a single solution. Professionals who can organize this vast data to provide business solutions will be in high demand.

If you get a chance to learn both subjects in the same program, you will be lucky. Right?

Why train yourself in data science and machine learning?

According to a 2021 India Talent Trends report published by recruitment firm Michael Page, data science professionals with 3-10 years of experience earn an annual salary within the range of Rs 25-65 lakh, while those with more experience can offer a salary package of more than a crore.

If you are a beginner in the IT industry or a mid-level developer aspiring to become a data scientist or machine learning engineer, you can confirm your career with a certificate token in the data science/machine learning programs available online. Many data sciences online training providers conduct short dredging courses in data science and machine learning. You can choose one of the best data science courses available.

Of course, those who want to pursue a career in data science, machine learning, data analytics, or even business analysts need to recharge their skills in the data science domain. Certification programs in data science and machine learning will help them align their qualifications. Go to the course and visualize yourself on the path to your dream role as a data analyst, data scientist, data manager, BI expert, business analyst, data analysis consultant, or similar. 

Data science certification

The certification program in the Data Science and Machine Learning program at Imarticus Learning is an ideal opportunity for new graduates and those in transition to a career change in data science and machine learning. This is a 5-month live online training program designed by the top faculty members of IIT and industry experts.

Program outcome

You will learn the basics and aspects of data science and machine learning. Students can build a strong foundation in data science. Using Python, you can specialize in machine learning with core algorithms and data-driven decision-making. When you exercise with the right knowledge, the use of learning in live projects helps solve real-world problems.

The guidance and mentoring of industry experts with extensive experience working in the data science and machine learning domains in many organizations certainly help students to excel in project work. The great thing about project work is that you get to work in various industry domains, adapting to your current work domain or your subject specialization.

Some interesting examples of projects are:

  • Developing a predictive model for property valuations in real-estate companies
  • Fare prediction of online taxi service in transportation/logistics sector companies
  • Vaccine prediction using patient medical attributes analysis in the healthcare industry 

The resources behind this program

This course is thoughtfully designed to create the entrepreneurs of tomorrow under the scheme of Digital India Support, tagged iHUB DivyaSampark @ IIT Roorkee. The program also provides an excellent platform for those young learners who are enthusiastic and startup-minded. Such entrepreneurs can develop innovative ideas to implement and gain funding support.

You will receive a certificate issued jointly by iHUB DivyaSampark @ IIT Roorkee, Department of Science and Technology (DST), and Imarticus Learning.

Please contact us via live chat and/or message to get more information about the courses or visit one of our training centers in Mumbai, Thane, Pune, Delhi, Gurgaon, Chennai, and Bangalore. 

AI certification in India: Landscape and learnings from 2021

Posted on by Imarticus Learning

AI certification in India: Landscape and learnings from 2021

With the rapid use of artificial intelligence (AI) in the business and learning sector, it has become a hot topic in recent years. Notably, AI is projected to witness more growth in upcoming years as the pandemic has accelerated its use.

For instance, AR/VR apps, online education, and the use of technology in business and startups are all trending. So, this might be an ideal time for individuals looking to get into data science with a machine learning or an artificial intelligence course. These study programmes are beneficial as they provide skills and knowledge to pursue a professional career in AI and machine learning. 

The landscape of Artificial Intelligence

AI tools are becoming more and more common in workplaces, but these are often poorly understood. To get the most sense out of it, individuals can learn machine learning from leading institutes to help them clear these concepts comprehensively. Harvard Business Review reports that 800 different AI systems fall under four categories that are used across 14 various industries. But, based on technology readiness in 2022, few domains are used widely across multiple sectors. A few of these are deep learning, neural networks, chatbots, natural language processing, etc. 

AI Learnings from 2021

2021 has been a year of massive upliftment in AI, machine learning, and data science. The large-scale adoption of technology in numerous fields has boosted the sector. According to World Economic Forum, 97 million new job roles might emerge by 2025 that are more adapted new sectors of labour made due to the amalgamation of algorithms, machines, and humans. Nevertheless, a few of the top trends of AI in 2022 are: 

  • Multi-modal learning 

With time, AI is getting better at understanding human needs. With the support of modalities within a single machine learning model like speech, vision, text, and IoT sensor data, AI is getting better with each passing day. A machine learning course will be a great asset to get an idea about these as the curriculum is aligned with modern-day industry requirements to sustain in this field. 

  • Rising Demand for Data Security 

Data is currently one of the most valuable resources of most organizations. Moreover, since the advent of the pandemic, most jobs have been executed online, creating a considerable dependency on data. Thus, data security is one of the prime objectives of enterprises to maintain security and confidentiality within an organization. Hence, it is essential to note that this emphasis on the security of sensitive and personal data will increase with time and similarly dependency on machine learning and AI. 

  • Augmented Intelligence 

To increase the productivity of a venture, the dependency on augmented intelligence has already shown a positive trend. This shift in job roles is likely to refresh the workload and can bring out the highest-level productivity with a coupled use of humans and machines. According to Gartner, by 2023, 40% of large enterprises will use AI-augmented automation for higher productivity. 

Thus, it is evident that 2021 has opened quite a few provinces for artificial intelligence and machine learning. However, the use of AI is divided depending on rote tasks, simple tasks that require ethical decision making, creative tasks with limited ethical components, and tasks with both creative and ethical components.

Also, individuals must learn that incorporating AI within a business will become more complex. This is because the volume of data will increase and the data processing will grow complex in nature.

AI for decision-making: Self-driving cars and the future of artificial intelligence certification

Posted on by Imarticus Learning

AI for decision-making: Self-driving cars and the future of artificial intelligence certification

The development of self-driving cars needs decision-making models that can cope with urban junctions that are both dynamic and complicated. For autonomous cars to function well, it is critical to precisely identify other vehicles’ paths and simultaneously consider effectiveness and security while interacting with each other.

A self-driving car relies heavily on its vision to detect impediments, read traffic signs, interpret traffic signal status and eventually make an appropriate choice based on what it observes using the principles of artificial intelligence and machine learning. This is a crucial and powerful feature of the vehicle. Read on…

How does a self-driving car perceive information?

A self-driving car must be able to see and identify objects in its environment. This ability to sense the environment around them is a critical property for self-driving automobiles. In order to make this happen, a self-driving car consists of three types of sensors:

  • Cameras: They must have high resolution and adequately portray the surroundings. To ensure that the automobile gets visual data from all directions, cameras must work concurrently to provide a 360-degree image of the surrounding area.
  • LiDAR System: It stands for Light Detection and Ranging, a technique of measuring distances by shooting a laser and then observing the amount of time it takes for it to be reflected back by an object. A three-dimensional picture is created when an LiDAR sensor is used in conjunction with cameras. The automobile can now visualize its surrounding in three dimensions.
  • RADAR System: RADAR is an acronym for radio detection and ranging. Camera sensors are augmented with radar detectors during cases of poor visibility. When an object is detected, radio waves are used to relay back information about the object’s speed and position.

Decision-making in self-driving cars

In self-driving cars, the ability to make quick decisions is critical. In an unpredictable situation, they need a system that is both dynamic and accurate. Sensor readings are not always accurate and drivers often make erratic decisions while being behind the wheel. There is no way to directly quantify these things. 

Deep reinforcement learning (DRL) is employed by self-driving cars for decision-making. Notably, deep reinforcement learning is based on a decision-making mechanism known as Markov Decision Process (MDP). In most cases, a Markov Decision Process is utilized to make predictions about how other drivers will act in the near future.

The automobile must first make the decision to design a route. In order to reach its destination, the automobile has to design the most efficient path from where it is now present. All other options are compared to identify the best one.

After the route has been set, the car has to figure out how to go there on its own. Fixed features like highways, junctions, and typical traffic are known to the automobile, but it is unable to predict precisely what other road users will be doing. Probabilistic forecasting techniques like MDPs are used to address this unpredictability in the behaviour of other road users.

After the behavior layer settles on a path, the system responsible for managing the motion of the car takes control of the car’s movement. This includes the vehicle’s speed, lane-changing, and more, all of which must be tailored to the environment in which the vehicle is operating.

Conclusion

The goal of self-driving automobiles is to improve the safety and efficiency of road traffic. Despite the fact that it shows promise, much work remains. Learn more about self-driving cars and their working with Imarticus’ machine learning course and get your AI certification. Do not hesitate, hurry and apply now. 

Turn Visibility Into A Value With An IIT Supply Chain Management Certification

Posted on by Imarticus Learning

Turn Visibility Into A Value With An IIT Supply Chain Management Certification

Supply Chain Management (SCM) manages the flow of products and services and related operations to transform inputs into outputs and satisfy customer expectations efficiently in a cost-effective manner. As a result, it adds value to corporate processes, making the work of SCM specialists crucial for organizational success. 

If you want to comprehend how firms manage their material and product flow across international boundaries, you will need to upskill if you wish to further your career in Supply Chain Industry. The Certificate Programme in Supply Chain Management will help you flourish your career.

An overview of supply chain management course

An SC (Supply Chain) is a network of supplier, manufacturing, assembly, distribution, and logistics facilities that execute the activities of material acquisition, material transformation into intermediate and final goods, and product delivery to clients. Manufacturing and service firms both have supply networks. 

SUPPLY CHAIN MANAGEMENT (SCM) is a systems-based strategy for managing the flow of information, products, and services from raw material suppliers to the end consumer via factories and warehouses. SCM differs from SUPPLY MANAGEMENT in that it focuses solely on the buyer-supplier relationship.

Students get introduced to numerous positions in the supply chain management business, including:

  • Services for Logistics, Planning, and Supply Chain Management
  • Production and Manufacturing
  • Order Management and Procurement Planning
  • Inventory Management
  • Operations of Warehousing and Distribution Centers
  • Transportation Management

Few Reasons to Become a Supply Chain Certified Professional

IMPROVE YOUR CURRENT AND RELEVANT SKILLS AND KNOWLEDGE. This course gives students a modern perspective on supply chain management by regularly updating course content. They collaborate with specialists worldwide to guarantee that the ideas they teach are still relevant in the supply chain sphere today.

EARNINGS POTENTIAL IS HIGHER. According to ASCM, CSCP designees get a pay boost of 21% on average. Not only that, but ASCM Certified people earn 18% more than those with other organizations’ supply chain credentials.

ESTABLISH A NETWORK OF SUPPLY CHAIN PROFESSIONALS. Throughout the course, you will engage with an instructor and peers who will be tremendous assets to you (and vice versa) as you advance your career. There are also 45,000 ASCM members worldwide, so you may continue to network in a global community long after completing your certification course.

Discover a Professional supply chain management career  with Imarticus Learning

The online supply chain management course provides cutting-edge information to those interested in taking the operations or supply chain analytics course. Students who enroll in this online supply chain management program will learn about Demand Planner and Data Scientist job titles.

Course Benefits For Learners:

  • We immerse students in relevant technologies and projects, such as six real-world projects that will give them a solid understanding of the sector to prepare them for a successful future as certified Supply Chain analysts.
  • Students who finish a professional certification in supply chain management can prepare for highly sought-after professions such as Demand Planner or Data Scientist, which are in high demand among businesses today!
  • Students will learn to become data-centric and improve Supply Chain decision-making by utilizing the Python programming language.

Why Does Everyone Want To Do A Data Science Course? And Why It’s The Best Decision

Posted on by Imarticus Learning

Why Does Everyone Want To Do A Data Science Course? And Why It’s The Best Decision

Data-driven decision-making (DDD) has transformed our society. We make decisions using insights derived from analyzing large quantities of data: hiring managers interview candidates based on their resumes; doctors diagnose patients based on test results; marketing agencies design campaigns around consumer insights gleaned from monitoring buying behavior, and companies develop new products by conducting market research. The most successful organizations use DDD to find opportunities and improve processes. 

This means that people with experience in data analysis are highly sought after by companies across all industries – they are the future leaders of today’s business world! 

A data scientist is a person who uses statistics, programming knowledge, and domain expertise (collectively known as skills) to extract meaning from information contained within datasets for various purposes, including business applications or research projects.

What is a data science course?

Data science is a field of science that deals with the collection, storage, analysis, and distribution of data. Data science uses data to find patterns and trends. Data scientists use statistics, mathematics, and computer programming to analyze large quantities of data from many sources.

Data Science combines statistical analysis with computer programming skills to solve real-world problems such as forecasting future sales or understanding consumer behaviour.

Here are a few reasons why everyone wants to do a data science course

The rise of data science is a huge game-changer. The world is shifting from paper to digital, and as a result, there are more opportunities than ever before. Data science is an exciting field that has attracted many people. People want to learn how they can apply their knowledge in the real world and get a job.  

A data science course will help you become an expert in data science. It will also help you get a job in data science, and it can even help you make money as a data scientist!

Here are four main reasons people are interested in pursuing a career in this field:

  • It’s lucrative.
  • It helps you develop valuable skills.
  • There’s high demand for professionals trained in data science.
  • The work can be creatively stimulating.

The Data Science course is one of the best courses available today for beginners who want to launch their careers or get better at their current job. 

Discover a data science career with Imarticus Learning

This certificate program in data science and machine learning helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach students the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

Contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.